Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 614 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1 |
| Duplicate rows (%) | 0.2% |
| Total size in memory | 34.8 KiB |
| Average record size in memory | 58.0 B |
Variable types
| Numeric | 3 |
|---|---|
| Categorical | 12 |
Loan_Amount_Term has constant value "" | Constant |
| Dataset has 1 (0.2%) duplicate rows | Duplicates |
ApplicantIncome is highly overall correlated with LoanAmount | High correlation |
LoanAmount is highly overall correlated with ApplicantIncome | High correlation |
Credit_History is highly overall correlated with Loan_Status_Y | High correlation |
Property_Area_Semiurban is highly overall correlated with Property_Area_Urban | High correlation |
Property_Area_Urban is highly overall correlated with Property_Area_Semiurban | High correlation |
Loan_Status_Y is highly overall correlated with Credit_History | High correlation |
Dependents_3+ is highly imbalanced (58.7%) | Imbalance |
CoapplicantIncome has 273 (44.5%) zeros | Zeros |
Reproduction
| Analysis started | 2023-07-10 12:11:32.885340 |
|---|---|
| Analysis finished | 2023-07-10 12:11:58.265444 |
| Duration | 25.38 seconds |
| Software version | ydata-profiling vv4.2.0 |
| Download configuration | config.json |
ApplicantIncome
Real number (ℝ)
| Distinct | 458 |
|---|---|
| Distinct (%) | 74.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4617.1116 |
| Minimum | 150 |
|---|---|
| Maximum | 10171.25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.6 KiB |
Quantile statistics
| Minimum | 150 |
|---|---|
| 5-th percentile | 1897.55 |
| Q1 | 2877.5 |
| median | 3812.5 |
| Q3 | 5795 |
| 95-th percentile | 10171.25 |
| Maximum | 10171.25 |
| Range | 10021.25 |
| Interquartile range (IQR) | 2917.5 |
Descriptive statistics
| Standard deviation | 2479.8517 |
|---|---|
| Coefficient of variation (CV) | 0.53710024 |
| Kurtosis | 0.1264778 |
| Mean | 4617.1116 |
| Median Absolute Deviation (MAD) | 1229.5 |
| Skewness | 1.039846 |
| Sum | 2834906.5 |
| Variance | 6149664.6 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10171.25 | 50 | 8.1% |
| 2500 | 9 | 1.5% |
| 4583 | 6 | 1.0% |
| 6000 | 6 | 1.0% |
| 2600 | 6 | 1.0% |
| 4166 | 5 | 0.8% |
| 3333 | 5 | 0.8% |
| 5000 | 5 | 0.8% |
| 3750 | 5 | 0.8% |
| 8333 | 4 | 0.7% |
| Other values (448) | 513 |
| Value | Count | Frequency (%) |
| 150 | 1 | |
| 210 | 1 | |
| 416 | 1 | |
| 645 | 1 | |
| 674 | 1 | |
| 1000 | 1 | |
| 1025 | 2 | |
| 1299 | 1 | |
| 1378 | 1 | |
| 1442 | 1 |
| Value | Count | Frequency (%) |
| 10171.25 | 50 | |
| 10139 | 1 | 0.2% |
| 10047 | 1 | 0.2% |
| 10000 | 3 | 0.5% |
| 9963 | 1 | 0.2% |
| 9833 | 1 | 0.2% |
| 9703 | 1 | 0.2% |
| 9560 | 1 | 0.2% |
| 9538 | 1 | 0.2% |
| 9508 | 1 | 0.2% |
CoapplicantIncome
Real number (ℝ)
| Distinct | 271 |
|---|---|
| Distinct (%) | 44.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1419.7022 |
| Minimum | 0 |
|---|---|
| Maximum | 5743.125 |
| Zeros | 273 |
| Zeros (%) | 44.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1188.5 |
| Q3 | 2297.25 |
| 95-th percentile | 4997.4 |
| Maximum | 5743.125 |
| Range | 5743.125 |
| Interquartile range (IQR) | 2297.25 |
Descriptive statistics
| Standard deviation | 1624.6059 |
|---|---|
| Coefficient of variation (CV) | 1.1443286 |
| Kurtosis | 0.24471109 |
| Mean | 1419.7022 |
| Median Absolute Deviation (MAD) | 1188.5 |
| Skewness | 1.0127628 |
| Sum | 871697.17 |
| Variance | 2639344.3 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 5743.125 | 18 | 2.9% |
| 1666 | 5 | 0.8% |
| 2500 | 5 | 0.8% |
| 2083 | 5 | 0.8% |
| 1750 | 3 | 0.5% |
| 2333 | 3 | 0.5% |
| 1625 | 3 | 0.5% |
| 5625 | 3 | 0.5% |
| 1800 | 3 | 0.5% |
| Other values (261) | 293 |
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 16.12000084 | 1 | 0.2% |
| 189 | 1 | 0.2% |
| 240 | 1 | 0.2% |
| 242 | 1 | 0.2% |
| 461 | 1 | 0.2% |
| 484 | 1 | 0.2% |
| 505 | 1 | 0.2% |
| 536 | 1 | 0.2% |
| 663 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 5743.125 | 18 | |
| 5701 | 1 | 0.2% |
| 5654 | 1 | 0.2% |
| 5625 | 3 | 0.5% |
| 5624 | 1 | 0.2% |
| 5500 | 1 | 0.2% |
| 5302 | 1 | 0.2% |
| 5296 | 1 | 0.2% |
| 5266 | 1 | 0.2% |
| 5064 | 1 | 0.2% |
LoanAmount
Real number (ℝ)
| Distinct | 169 |
|---|---|
| Distinct (%) | 27.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 138.02535 |
| Minimum | 9 |
|---|---|
| Maximum | 261.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.6 KiB |
Quantile statistics
| Minimum | 9 |
|---|---|
| 5-th percentile | 57.3 |
| Q1 | 100.25 |
| median | 129 |
| Q3 | 164.75 |
| 95-th percentile | 261.5 |
| Maximum | 261.5 |
| Range | 252.5 |
| Interquartile range (IQR) | 64.5 |
Descriptive statistics
| Standard deviation | 55.773951 |
|---|---|
| Coefficient of variation (CV) | 0.40408482 |
| Kurtosis | 0.082052061 |
| Mean | 138.02535 |
| Median Absolute Deviation (MAD) | 30.5 |
| Skewness | 0.64862708 |
| Sum | 84747.568 |
| Variance | 3110.7336 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 261.5 | 41 | 6.7% |
| 146.4121622 | 22 | 3.6% |
| 120 | 20 | 3.3% |
| 110 | 17 | 2.8% |
| 100 | 15 | 2.4% |
| 187 | 12 | 2.0% |
| 160 | 12 | 2.0% |
| 128 | 11 | 1.8% |
| 113 | 11 | 1.8% |
| 130 | 10 | 1.6% |
| Other values (159) | 443 |
| Value | Count | Frequency (%) |
| 9 | 1 | |
| 17 | 1 | |
| 25 | 2 | |
| 26 | 1 | |
| 30 | 2 | |
| 35 | 1 | |
| 36 | 1 | |
| 40 | 2 | |
| 42 | 1 | |
| 44 | 2 |
| Value | Count | Frequency (%) |
| 261.5 | 41 | |
| 260 | 3 | 0.5% |
| 259 | 2 | 0.3% |
| 258 | 2 | 0.3% |
| 255 | 3 | 0.5% |
| 253 | 1 | 0.2% |
| 250 | 1 | 0.2% |
| 246 | 1 | 0.2% |
| 244 | 1 | 0.2% |
| 243 | 1 | 0.2% |
Loan_Amount_Term
Categorical
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.0 KiB |
| 360.0 |
|---|
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 3070 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 360.0 |
|---|---|
| 2nd row | 360.0 |
| 3rd row | 360.0 |
| 4th row | 360.0 |
| 5th row | 360.0 |
Common Values
| Value | Count | Frequency (%) |
| 360.0 | 614 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 360.0 | 614 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| 3 | 614 | |
| 6 | 614 | |
| . | 614 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2456 | |
| Other Punctuation | 614 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| 3 | 614 | |
| 6 | 614 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 614 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3070 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| 3 | 614 | |
| 6 | 614 | |
| . | 614 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3070 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| 3 | 614 | |
| 6 | 614 | |
| . | 614 |
Credit_History
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 40.8 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1842 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 525 | |
| 0.0 | 89 | 14.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 525 | |
| 0.0 | 89 | 14.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 703 | |
| . | 614 | |
| 1 | 525 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1228 | |
| Other Punctuation | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 703 | |
| 1 | 525 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 614 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1842 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 703 | |
| . | 614 | |
| 1 | 525 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1842 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 703 | |
| . | 614 | |
| 1 | 525 |
Gender_Male
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 502 | |
| 0 | 112 | 18.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 502 | |
| 0 | 112 | 18.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 502 | |
| 0 | 112 | 18.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 502 | |
| 0 | 112 | 18.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 502 | |
| 0 | 112 | 18.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 502 | |
| 0 | 112 | 18.2% |
Married_Yes
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 401 | |
| 0 | 213 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 401 | |
| 0 | 213 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 401 | |
| 0 | 213 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 401 | |
| 0 | 213 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 401 | |
| 0 | 213 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 401 | |
| 0 | 213 |
Dependents_1
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 512 | |
| 1 | 102 | 16.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 512 | |
| 1 | 102 | 16.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 512 | |
| 1 | 102 | 16.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 512 | |
| 1 | 102 | 16.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 512 | |
| 1 | 102 | 16.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 512 | |
| 1 | 102 | 16.6% |
Dependents_2
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 513 | |
| 1 | 101 | 16.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 513 | |
| 1 | 101 | 16.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 513 | |
| 1 | 101 | 16.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 513 | |
| 1 | 101 | 16.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 513 | |
| 1 | 101 | 16.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 513 | |
| 1 | 101 | 16.4% |
Dependents_3+
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 0 | |
|---|---|
| 1 | 51 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 51 | 8.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 51 | 8.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 51 | 8.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 51 | 8.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 51 | 8.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 51 | 8.3% |
Education_Not Graduate
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 480 | |
| 1 | 134 | 21.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 480 | |
| 1 | 134 | 21.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 480 | |
| 1 | 134 | 21.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 480 | |
| 1 | 134 | 21.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 480 | |
| 1 | 134 | 21.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 480 | |
| 1 | 134 | 21.8% |
Self_Employed_Yes
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 532 | |
| 1 | 82 | 13.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 532 | |
| 1 | 82 | 13.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 532 | |
| 1 | 82 | 13.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 532 | |
| 1 | 82 | 13.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 532 | |
| 1 | 82 | 13.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 532 | |
| 1 | 82 | 13.4% |
Property_Area_Semiurban
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 381 | |
| 1 | 233 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 381 | |
| 1 | 233 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 381 | |
| 1 | 233 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 381 | |
| 1 | 233 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 381 | |
| 1 | 233 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 381 | |
| 1 | 233 |
Property_Area_Urban
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 412 | |
| 1 | 202 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 412 | |
| 1 | 202 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 412 | |
| 1 | 202 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 412 | |
| 1 | 202 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 412 | |
| 1 | 202 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 412 | |
| 1 | 202 |
Loan_Status_Y
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 614 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 422 | |
| 0 | 192 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 422 | |
| 0 | 192 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 422 | |
| 0 | 192 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 614 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 422 | |
| 0 | 192 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 614 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 422 | |
| 0 | 192 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 614 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 422 | |
| 0 | 192 |
| ApplicantIncome | CoapplicantIncome | LoanAmount | Credit_History | Gender_Male | Married_Yes | Dependents_1 | Dependents_2 | Dependents_3+ | Education_Not Graduate | Self_Employed_Yes | Property_Area_Semiurban | Property_Area_Urban | Loan_Status_Y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ApplicantIncome | 1.000 | -0.320 | 0.501 | 0.000 | 0.106 | 0.000 | 0.000 | 0.000 | 0.000 | 0.185 | 0.265 | 0.059 | 0.073 | 0.000 |
| CoapplicantIncome | -0.320 | 1.000 | 0.232 | 0.000 | 0.204 | 0.312 | 0.000 | 0.125 | 0.000 | 0.153 | 0.115 | 0.000 | 0.055 | 0.053 |
| LoanAmount | 0.501 | 0.232 | 1.000 | 0.000 | 0.153 | 0.184 | 0.055 | 0.061 | 0.126 | 0.177 | 0.098 | 0.000 | 0.107 | 0.097 |
| Credit_History | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.033 | 0.055 | 0.000 | 0.000 | 0.000 | 0.534 |
| Gender_Male | 0.106 | 0.204 | 0.153 | 0.000 | 1.000 | 0.358 | 0.000 | 0.118 | 0.079 | 0.000 | 0.000 | 0.096 | 0.000 | 0.000 |
| Married_Yes | 0.000 | 0.312 | 0.184 | 0.000 | 0.358 | 1.000 | 0.102 | 0.242 | 0.120 | 0.000 | 0.000 | 0.000 | 0.000 | 0.078 |
| Dependents_1 | 0.000 | 0.000 | 0.055 | 0.000 | 0.000 | 0.102 | 1.000 | 0.188 | 0.120 | 0.000 | 0.064 | 0.000 | 0.051 | 0.000 |
| Dependents_2 | 0.000 | 0.125 | 0.061 | 0.000 | 0.118 | 0.242 | 0.188 | 1.000 | 0.119 | 0.000 | 0.000 | 0.000 | 0.000 | 0.041 |
| Dependents_3+ | 0.000 | 0.000 | 0.126 | 0.033 | 0.079 | 0.120 | 0.120 | 0.119 | 1.000 | 0.026 | 0.000 | 0.000 | 0.008 | 0.000 |
| Education_Not Graduate | 0.185 | 0.153 | 0.177 | 0.055 | 0.000 | 0.000 | 0.000 | 0.000 | 0.026 | 1.000 | 0.000 | 0.000 | 0.000 | 0.071 |
| Self_Employed_Yes | 0.265 | 0.115 | 0.098 | 0.000 | 0.000 | 0.000 | 0.064 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 |
| Property_Area_Semiurban | 0.059 | 0.000 | 0.000 | 0.000 | 0.096 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.543 | 0.127 |
| Property_Area_Urban | 0.073 | 0.055 | 0.107 | 0.000 | 0.000 | 0.000 | 0.051 | 0.000 | 0.008 | 0.000 | 0.000 | 0.543 | 1.000 | 0.000 |
| Loan_Status_Y | 0.000 | 0.053 | 0.097 | 0.534 | 0.000 | 0.078 | 0.000 | 0.041 | 0.000 | 0.071 | 0.000 | 0.127 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| ApplicantIncome | CoapplicantIncome | LoanAmount | Loan_Amount_Term | Credit_History | Gender_Male | Married_Yes | Dependents_1 | Dependents_2 | Dependents_3+ | Education_Not Graduate | Self_Employed_Yes | Property_Area_Semiurban | Property_Area_Urban | Loan_Status_Y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5849.00 | 0.000 | 146.412162 | 360.0 | 1.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 1 | 4583.00 | 1508.000 | 128.000000 | 360.0 | 1.0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 3000.00 | 0.000 | 66.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
| 3 | 2583.00 | 2358.000 | 120.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
| 4 | 6000.00 | 0.000 | 141.000000 | 360.0 | 1.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 5 | 5417.00 | 4196.000 | 261.500000 | 360.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 |
| 6 | 2333.00 | 1516.000 | 95.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
| 7 | 3036.00 | 2504.000 | 158.000000 | 360.0 | 0.0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 8 | 4006.00 | 1526.000 | 168.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| 9 | 10171.25 | 5743.125 | 261.500000 | 360.0 | 1.0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| ApplicantIncome | CoapplicantIncome | LoanAmount | Loan_Amount_Term | Credit_History | Gender_Male | Married_Yes | Dependents_1 | Dependents_2 | Dependents_3+ | Education_Not Graduate | Self_Employed_Yes | Property_Area_Semiurban | Property_Area_Urban | Loan_Status_Y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 604 | 10171.25 | 0.0 | 261.500000 | 360.0 | 1.0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 605 | 2400.00 | 3800.0 | 146.412162 | 360.0 | 1.0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 606 | 3400.00 | 2500.0 | 173.000000 | 360.0 | 1.0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 607 | 3987.00 | 1411.0 | 157.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 608 | 3232.00 | 1950.0 | 108.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 609 | 2900.00 | 0.0 | 71.000000 | 360.0 | 1.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 610 | 4106.00 | 0.0 | 40.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 611 | 8072.00 | 240.0 | 253.000000 | 360.0 | 1.0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 612 | 7583.00 | 0.0 | 187.000000 | 360.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| 613 | 4583.00 | 0.0 | 133.000000 | 360.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
Most frequently occurring
| ApplicantIncome | CoapplicantIncome | LoanAmount | Loan_Amount_Term | Credit_History | Gender_Male | Married_Yes | Dependents_1 | Dependents_2 | Dependents_3+ | Education_Not Graduate | Self_Employed_Yes | Property_Area_Semiurban | Property_Area_Urban | Loan_Status_Y | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 10171.25 | 0.0 | 261.5 | 360.0 | 1.0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 |